pip install plotly

Note: you may need to restart the kernel to use updated packages.

'C:\Users\Ankit' is not recognized as an internal or external command,
operable program or batch file.

import plotly.express as px
fig=px.line(x=[1,2,3],y=[1,2,3])
print(fig)

Figure({
    'data': [{'hovertemplate': 'x=%{x}<br>y=%{y}<extra></extra>',
              'legendgroup': '',
              'line': {'color': '#636efa', 'dash': 'solid'},
              'marker': {'symbol': 'circle'},
              'mode': 'lines',
              'name': '',
              'orientation': 'v',
              'showlegend': False,
              'type': 'scatter',
              'x': array([1, 2, 3], dtype=int64),
              'xaxis': 'x',
              'y': array([1, 2, 3], dtype=int64),
              'yaxis': 'y'}],
    'layout': {'legend': {'tracegroupgap': 0},
               'margin': {'t': 60},
               'template': '...',
               'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'x'}},
               'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'y'}}}
})

import plotly.express as px
fig=px.line(x=[1,2,3],y=[1,2,3])
fig.show()

import plotly. express as px
df=px.data.iris()
fig=px.line(df,x="species",y="petal_width")
fig.show()

import plotly.express as px
df=px.data.iris()
fig=px.bar(df,x="sepal_width",y="sepal_length")
fig.show()

import plotly.express as px
import numpy as np
np.random.seed(42)
random_x=np.random.randint(1,101,100)
random_y=np.random.randint(1,101,100)
fig=px.bar(random_x,y=random_y)
fig.show()

in this example we will use the iris dataset.and conevert into the data frame to plot bar chart

import plotly.express as px
df=px.data.iris()
fig=px.bar(df,x="sepal_width",y="sepal_length")
fig.show()

long_df=px.data.medals_long()
fig=px.bar(long_df,x="nation",y="count",
          color="medal",title="nation")
fig.show()

df=px.data.medals_wide()
fig=px.bar(df,x="nation",
          y=["gold","silver","bronze"],
            title="Wide form data")
fig.show()

import plotly.express as px
df=px.data.iris()
fig=px.bar(df,x="sepal_width",y="sepal_length",
          color="species",barmode="group",
          facet_row="species",facet_col="species")
fig.show()

#customizing bar charts

import plotly.express as px
df=px.data.iris()
fig=px.bar(df,x="sepal_width",y="sepal_length",color="species")
fig.show()

here we will use "overlay" with

import plotly.express as px
df=px.data.iris()
fig=px.bar(df,x="sepal_width",y="sepal_length",
          color="species",barmode="overlay")
fig.show()

#using tips dataset
import plotly.express as px
df=px.data.tips()
fig=px.histogram(df,x="total_bill")
fig.show()

import plotly.express as px
df=px.data.tips()
fig=px.histogram(df,x="total_bill",
                histnorm="probability density")
fig.show()

df=px.data.tips()
fig=px.histogram(df,x="total_bill",histnorm="percent")
fig.show()

df=px.data.tips()
fig=px.histogram(df,x="total_bill",
                histnorm="percent",
                nbins=10)
fig.show()